Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples.

Let’s parse that.

Gentle, yet thorough: This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analyzing and preparing raw data to visualize your findings.

Data Science, Statistics, and R: This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R.... [-]

What’s the focus of this course? The Data Science with R training course has been designed to impart an in-depth knowledge of the various data analytics techniques which can be performed using R. The course is packed with real-life projects, case studies, and includes R CloudLabs for practice. Mastering R language: The course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R. Mastering advanced statistical concepts: The course also includes the various statistical concepts like linear and logistic regression, cluster analysis, and forecasting. You will also learn hypothesis testing. As a part of the course, you will be required to execute real-life projects using CloudLab. The compulsory projects are spread over four case studies in the domains of healthcare, retail, and Internet. R CloudLab has been provided to ensure a practical and hands-on experience. Additionally, we have four more projects for further practice. What are the course objectives? This course will enable you to:... [-]

What’s the focus of this course? The data science with SAS certification training is designed to impart an in-depth knowledge of SAS programming language, SAS tools, and various advanced analytics techniques. The training provides a solid base for implementing these techniques. The course is packed with real-life projects and case studies to give a hands-on and practical experience to the participants. Mastering SAS and related tools: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization. Mastering advanced analytics concepts: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it's modeling, and implementation using SAS. As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis. What are the course objectives? This course will enable you to:... [-]

The courses are based on 8 books from the "Mastering Mathematical Finance" (MMF) series published by Cambridge University Press. There are 8 individual courses - each covering the contents of one of the books.

Delivery is by means of one-to-one tutorials conducted via Skype by the authors and editors of the series, and regular coursework.

The courses are designed to meet the continuing professional development and training needs of:

Apply Now for Summer 2017

The online CPD Accredited Level 2 Microsoft Excel 2016 – Introductory Course will provide learners with an insight into how to effectively work with the popular spreadsheet software – Microsoft Excel. Whether your new to this software, or want to brush up on your skills in the latest version of this software, this Microsoft Excel 2016 – Introductory Course covers all the important aspects for you to know more. Whether you are currently working in a role that requires you to work with this software, or you just want to add this course on your CV, you can get started instantly and start learning all the important aspects about spreadsheet software.

Many people have big data but only some people know what to do with it. Why? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increase every day. This means we need new solutions for analysing data.

This course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. We also expose you to three software packages so you can develop your coding skills by completing practical exercises.

Our Introduction to Statistics course, one of the online medical courses offered through the MSc Epidemiology program developed by the UMC Utrecht and Utrecht University, will provide you with a basic understanding of statistics. Geared towards people studying and working in the health domain, the course will enable you to interpret research data, and to explain and use different types of variables. The aim of the course is to bring all students, irrespective of their prior knowledge, up to the necessary level to enable them to participate in other statistical courses. In order to achieve this aim, you will be tested on your statistical knowledge at the start of the course. The results will give you an insight into your own statistical strengths and weaknesses, enabling us to provide you with specific advice on how best to participate in the course. Introduction to Statistics is part of MSc Epidemiology Postgraduate Online; the online MSc program in Epidemiology offered by Utrecht University, University Medical Center Utrecht, MSc Epidemiology and Elevate Health... [-]